An End-to-End Submodular Framework for Data-Efficient In-Context Learning

An End-to-End Submodular Framework for Data-Efficient In-Context Learning Lilly Kumari author Shengjie Wang author Arnav Das author Tianyi Zhou author Jeff Bilmes author 2024-06 text Findings of the Association for Computational Linguistics: NAACL 2024 Kevin Duh editor Helena Gomez editor Steven Bethard editor Association for Computational Linguistics Mexico City, Mexico conference publication kumari-etal-2024-end 10.18653/v1/2024.findings-naacl.209 https://aclanthology.org/2024.findings-naacl.209/ 2024-06 3293 3308